Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1827285A25498642B0A57CBD9F7B1FB4EF7428149C9D2104AD0FAD38C1FE2C71FE1A609 |
|
CONTENT
ssdeep
|
384:HrbkD+JXFCy25v7PKSyqhJEA5cqT2t1rlHDuRpTjhIB57Q:HrbkD+JXQvTKSyqhJEA5cqT2t1rlHDuV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f71e6962e99c1621 |
|
VISUAL
aHash
|
80809cfee3e3e3e3 |
|
VISUAL
dHash
|
2839342c0f0f4e4a |
|
VISUAL
wHash
|
80808cfee3e3e3e3 |
|
VISUAL
colorHash
|
07000006002 |
|
VISUAL
cropResistant
|
2839342c0f0f4e4a,4d89e24d4f5b5926,962b333333f0c8e4 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 11 techniques to evade detection by security scanners and make reverse engineering more difficult.